The face plays a key role in many real-world applications such as security systems, human computer interaction, remote monitoring of patients, video annotation, and gaming. Having detected the face, pattern recognition techniques and machine learning algorithms are applied to facial images, for example, to find the identity of a subject or analyze her/his emotional status. Though face and facial expression recognition in still images and in ideal imaging conditions have been around for many years, they have been less explored in video sequences in uncontrolled imagining conditions. Developing face and facial expression recognition algorithms for real-world scenarios, for instance, for remote patient monitoring or for identification in surveillance videos are still challenging tasks. The purpose of this workshop is to bring together researchers who are working on developing face and facial expression recognition systems that involve non-ideal conditions, like those that might be present in a video. We welcome research papers focusing on the following (and similar) topics:

Video face recognition
Video facial expression recognition
Face and facial expression recognition from facial dynamics
Multi-face clustering from video
3D face modeling from video
Multimodal face and facial expression recognition
Applications of video face recognition
Applications of video facial expression recognition

Invited speakers:
Massimo Tistarelli, University of Sassari, Italy
Maja Pantic, Imperial College of London, UK (pending)

Papers:
Papers of at least 10 pages length in Springer’s single column format will be blind peer-reviewed by at least two referees. Accepted papers will be published in a post-proceeding volume of Springer’s Lecture Notes in Computer Science (LNCS) series.

Paper submission can be done via the following CMT website:
https://cmt.research.microsoft.com/FFER2014/Default.aspx


Organizers:
Qiang Ji, Rensselaer Polytechnic Institute, USA
Thomas Moeslund, Aalborg University, Denmark
Gang Hua, Stevens Institute of Technology, USA
Kamal Nasrollahi, Aalborg University, Denmark